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Sijtsma, Klaas; van der Ark, L. Andries – Multivariate Behavioral Research, 2003
This article first discusses a statistical test for investigating whether or not the pattern of missing scores in a respondent-by-item data matrix is random. Since this is an asymptotic test, we investigate whether it is useful in small but realistic sample sizes. Then, we discuss two known simple imputation methods, person mean (PM) and two-way…
Descriptors: Test Items, Questionnaires, Statistical Analysis, Models
Zijlstra, Wobbe P.; Van Der Ark, L. Andries; Sijtsma, Klaas – Multivariate Behavioral Research, 2007
Classical methods for detecting outliers deal with continuous variables. These methods are not readily applicable to categorical data, such as incorrect/correct scores (0/1) and ordered rating scale scores (e.g., 0,..., 4) typical of multi-item tests and questionnaires. This study proposes two definitions of outlier scores suited for categorical…
Descriptors: Rating Scales, Scores, Regression (Statistics), Statistical Analysis
Raykov, Tenko – Multivariate Behavioral Research, 2006
A method for examining invariance in validity of multiple-component instruments in repeated measure designs is outlined. The approach is developed within the framework of covariance structure modeling and is applicable for purposes of ascertaining temporal stability in scale validity. In addition, the procedure provides a range of plausible values…
Descriptors: Longitudinal Studies, Evaluation Methods, Test Validity, Item Analysis